Coursebooks 2017-2018

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Caution, these contents corresponds to the coursebooks of last year


Distributed intelligent systems

ENG-466

Lecturer(s) :

Martinoli Alcherio

Language:

English

Remarque

pas donné en 2016/17

Summary

The goal of this course is to provide methods and tools for modeling distributed intelligent systems as well as designing and optimizing coordination strategies. The course is a well-balanced mixture of theory and laboratory exercises using simulation and real hardware platforms.

Content

 

 

Keywords

Artificial intelligence, distributed robotics, sensor networks, modeling, machine-learning, control

Learning Prerequisites

Required courses

Fundamentals in analysis, probability, and programming for both compiled and interpreted languages

Recommended courses

Basic knowledge in statistics, specific programming language used in the course (C and Matlab), and signals and systems

 

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Ex-cathedra lecture, assisted exercises, and course project involving teamwork

Assessment methods

Continuous control with final written exam

Supervision

Office hours Yes
Assistants Yes
Forum No

Resources

Bibliography

Lecture notes, selected papers and book chapters distributed at each lecture.

Websites
Moodle Link

Prerequisite for

R&D activities in engineering

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German